Machine Learning Engineer
IPTS
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See open jobs at IPTS.See open jobs similar to "Machine Learning Engineer" PL.Specialism: Blockchain & Web3 Infrastructure
Project: An AI/ML organization on a mission to revolutionize AI training using a decentralized computing platform to build an open, efficient, accessible, and affordable infrastructure built upon blockchain and crypto.
Key Skills: ML, PyTorch, TensorFlow, Jax, LLM
Location: San Mateo, CA (Hybrid)
Role Detail: We are seeking a Machine Learning Engineer to join our team and help set the foundations of the company. You will be responsible for designing, building, and maintaining various systems from the ground up, including the Lumino protocol, AI training, cryptoeconomics mechanisms, and our customer-facing tools. Your role will involve designing, developing, and optimizing machine learning models and algorithms for applications such as computer vision, NLP, and audio/video processing. You will collect, clean, and preprocess data to create robust training datasets, train deep learning models on different GPUs, and improve model performance using techniques like LoRA and QLoRA quantization. Additionally, you will evaluate model performance, deploy models into production environments, and work closely with cross-functional teams to integrate models into production systems. Your responsibilities will also include monitoring and maintaining deployed models, optimizing training performance on various GPUs, capturing and analyzing benchmarks, and managing MLOps processes. You will train custom Lumino models, including those for fraud detection, build and improve internal inference systems, and enhance evaluation processes in the ML pipeline.
Requirements:
- Over 3 years of experience as a Data Scientist or Machine Learning Engineer.
- Proficient in Python with 3+ years of experience in ML frameworks such as PyTorch, TensorFlow, and Jax.
- Experienced in building, serving, and fine-tuning machine learning and large language models.
- Strong analytical skills with the ability to navigate ML system trade-offs.
- High degree of initiative and capability for end-to-end project ownership.
- Excellent communication and collaboration abilities.
- Exceptional problem-solving skills and a quick learning ability.
This job is no longer accepting applications
See open jobs at IPTS.See open jobs similar to "Machine Learning Engineer" PL.